Article

Global Signal Regression Strengthens Association between Resting-State Functional Connectivity and Behavior

2019-02-13

Abstract excerpt

Global signal regression (GSR) is one of the most debated preprocessing strategies for resting-state functional MRI. GSR effectively removes global artifacts driven by motion and respiration, but also discards globally distributed neural information and introduces negative correlations between certain brain regions. The vast majority of previous studies have focused on the effectiveness of GSR in removing imaging...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e4c2785e-bd4b-58b0-8458-a15dd8a8ad12
DOI: 10.1101/548644

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Global Signal Regression Strengthens Association between Resting-State Functional Connectivity and BehaviorDOI 10.1101/548644Read

General Functional Connectivity: shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networksSemantic proximity Read

Bootstrapping promotes the RSFC-behavior associations: an application of individual cognitive traits predictionSemantic proximity Read

Test-retest reliability of regression dynamic causal modelingSemantic proximity Read

Reliability modelling of resting-state functional connectivitySemantic proximity Read

Regional structural-functional connectome coupling is heritable and associated with age, sex and cognitive scores in adultsSemantic proximity Read

Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and DemographicsSemantic proximity Read

Neural manifold connectomics reveals multiregime functional connectivitySemantic proximity Read

A Whole-Brain Regression Method to Identify Individual and Group Variations in Functional ConnectivitySemantic proximity Read

Individual characteristics outperform resting-state fMRI for the prediction of behavioral phenotypes.Semantic proximity Read

Connectivity and function are coupled across cognitive domains throughout the brainSemantic proximity Read

A distributed brain network predicts general intelligence from resting-state human neuroimaging dataSemantic proximity Read

Spatial-extent inference for testing variance components in reliability and heritability studiesSemantic proximity Read